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http://bura.brunel.ac.uk/handle/2438/1792
Title: | Electrical capacitance tomography for flow imaging: System model for development of image reconstruction algorithms and design of primary sensors |
Authors: | Xie, CG Huang, SM Hoyle, BS Thorn, R Lenn, C Snowden, D Beck, MS |
Keywords: | Computerised tomography; Electric impedance imaging; Electric sensing devices; Finite element analysis; Image sensors |
Issue Date: | 1992 |
Publisher: | IEEE |
Citation: | IEE Proceedings G, 139(1): 89 - 98, Feb 1992 |
Abstract: | A software tool that facilitates the development of image reconstruction algorithms, and the design of optimal capacitance sensors for a capacitance-based 12-electrode tomographic flow imaging system are described. The core of this software tool is the finite element (FE) model of the sensor, which is implemented in OCCAM-2 language and run on the Inmos T800 transputers. Using the system model, the in-depth study of the capacitance sensing fields and the generation of flow model data are made possible, which assists, in a systematic approach, the design of an improved image-reconstruction algorithm. This algorithm is implemented on a network of transputers to achieve a real-time performance. It is found that the selection of the geometric parameters of a 12-electrode sensor has significant effects on the sensitivity distributions of the capacitance fields and on the linearity of the capacitance data. As a consequence, the fidelity of the reconstructed images are affected. Optimal sensor designs can, therefore, be provided, by accommodating these effects |
URI: | http://bura.brunel.ac.uk/handle/2438/1792 |
ISSN: | 0956-3768 |
Appears in Collections: | Business and Management Brunel Business School Research Papers |
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00125122.pdf | 876.06 kB | Adobe PDF | View/Open |
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